Pandas Profiling Report

Dataset statistics

Number of variables	37
Number of observations	2434863
Missing cells	18183596
Missing cells (%)	20.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	687.3 MiB
Average record size in memory	296.0 B

Variable types

Numeric	14
Categorical	12
Boolean	11

Warnings

`date_of_report` has constant value "20220901.0"	Constant
`supplementary_prepaid_card` has constant value "False"	Constant
`home_address` has a high cardinality: 1807 distinct values	High cardinality
`credit_card_branch_location` has a high cardinality: 120 distinct values	High cardinality
`current_ca_credit_limit` is highly correlated with `current_cp_credit_limit` and 2 other fields	High correlation
`current_cp_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`initial_ca_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`initial_cp_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`current_loan_balance` is highly correlated with `sanctioned_amount`	High correlation
`sanctioned_amount` is highly correlated with `current_loan_balance`	High correlation
`annual_income` is highly correlated with `current_cp_credit_limit` and 1 other fields	High correlation
`current_ca_credit_limit` is highly correlated with `current_cp_credit_limit` and 2 other fields	High correlation
`current_cp_credit_limit` is highly correlated with `annual_income` and 3 other fields	High correlation
`initial_ca_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`initial_cp_credit_limit` is highly correlated with `annual_income` and 3 other fields	High correlation
`current_loan_balance` is highly correlated with `sanctioned_amount`	High correlation
`sanctioned_amount` is highly correlated with `current_loan_balance`	High correlation
`current_ca_credit_limit` is highly correlated with `current_cp_credit_limit` and 2 other fields	High correlation
`current_cp_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`initial_ca_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`initial_cp_credit_limit` is highly correlated with `current_ca_credit_limit` and 2 other fields	High correlation
`current_loan_balance` is highly correlated with `sanctioned_amount`	High correlation
`sanctioned_amount` is highly correlated with `current_loan_balance`	High correlation
`current_loan_balance` is highly correlated with `sanctioned_amount`	High correlation
`opt_out` is highly correlated with `race` and 4 other fields	High correlation
`initial_cp_credit_limit` is highly correlated with `current_cp_credit_limit` and 3 other fields	High correlation
`prepaid_card_branch_loaction` is highly correlated with `customer_with_active_prepaid_card` and 1 other fields	High correlation
`sanctioned_amount` is highly correlated with `current_loan_balance`	High correlation
`customer_with_active_prepaid_card` is highly correlated with `prepaid_card_branch_loaction` and 1 other fields	High correlation
`race` is highly correlated with `opt_out` and 4 other fields	High correlation
`marital_status` is highly correlated with `opt_out` and 4 other fields	High correlation
`mobile_app_status` is highly correlated with `prepaid_card_branch_loaction` and 2 other fields	High correlation
`current_cp_credit_limit` is highly correlated with `initial_cp_credit_limit` and 2 other fields	High correlation
`age` is highly correlated with `opt_out` and 4 other fields	High correlation
`type_of_employment` is highly correlated with `occupation`	High correlation
`initial_ca_credit_limit` is highly correlated with `initial_cp_credit_limit` and 2 other fields	High correlation
`occupation` is highly correlated with `opt_out` and 5 other fields	High correlation
`vip_status` is highly correlated with `initial_cp_credit_limit`	High correlation
`customer_with_active_credit_card` is highly correlated with `mobile_app_status`	High correlation
`current_ca_credit_limit` is highly correlated with `initial_cp_credit_limit` and 2 other fields	High correlation
`gender` is highly correlated with `opt_out` and 4 other fields	High correlation
`opt_out` is highly correlated with `educational_qualification` and 6 other fields	High correlation
`educational_qualification` is highly correlated with `opt_out` and 2 other fields	High correlation
`customer_with_active_prepaid_card` is highly correlated with `mobile_app_status` and 2 other fields	High correlation
`mobile_app_status` is highly correlated with `customer_with_active_prepaid_card` and 2 other fields	High correlation
`own_multiple_financing_products` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`type_of_employment` is highly correlated with `occupation` and 2 other fields	High correlation
`occupation` is highly correlated with `opt_out` and 6 other fields	High correlation
`customer_with_active_credit_card` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`supplementary_credit_card` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`own_multiple_credit_card` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`gender` is highly correlated with `opt_out` and 5 other fields	High correlation
`residence_type` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`supplementary_prepaid_card` is highly correlated with `opt_out` and 19 other fields	High correlation
`date_of_report` is highly correlated with `opt_out` and 19 other fields	High correlation
`race` is highly correlated with `opt_out` and 5 other fields	High correlation
`own_multiple_prepaid_card` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`nationality` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`marital_status` is highly correlated with `opt_out` and 5 other fields	High correlation
`vip_status` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`customer_with_active_financing_product` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`default` is highly correlated with `supplementary_prepaid_card` and 1 other fields	High correlation
`educational_qualification` has 2208750 (90.7%) missing values	Missing
`current_ca_credit_limit` has 2354649 (96.7%) missing values	Missing
`current_cp_credit_limit` has 2354649 (96.7%) missing values	Missing
`initial_ca_credit_limit` has 2361902 (97.0%) missing values	Missing
`initial_cp_credit_limit` has 2361902 (97.0%) missing values	Missing
`current_prepaid_card_balance` has 2095391 (86.1%) missing values	Missing
`date_of_last_top_up_of_prepaid_card` has 2251140 (92.5%) missing values	Missing
`current_loan_balance` has 1092716 (44.9%) missing values	Missing
`sanctioned_amount` has 1092716 (44.9%) missing values	Missing
`annual_income` is highly skewed (γ1 = 1085.445471)	Skewed
`current_prepaid_card_balance` is highly skewed (γ1 = 34.14174152)	Skewed
`customer_id` has unique values	Unique
`number_of_dependents` has 1114516 (45.8%) zeros	Zeros
`current_prepaid_card_balance` has 194365 (8.0%) zeros	Zeros
`prepaid_card_branch_loaction` has 2095391 (86.1%) zeros	Zeros
`current_loan_balance` has 46476 (1.9%) zeros	Zeros

Reproduction

Analysis started	2023-09-11 15:35:27.604062
Analysis finished	2023-09-11 15:45:32.342030
Duration	10 minutes and 4.74 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

customer_id
Real number (ℝ_≥0)

UNIQUE

Distinct	2434863
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	161100218.4

Minimum	10000019
Maximum	970005601
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	10000019
5-th percentile	10836078.1
Q1	110198199.5
median	133115686
Q3	180718682.5
95-th percentile	260619181.4
Maximum	970005601
Range	960005582
Interquartile range (IQR)	70520483

Descriptive statistics

Standard deviation	157248499.4
Coefficient of variation (CV)	0.9760911624
Kurtosis	12.01250985
Mean	161100218.4
Median Absolute Deviation (MAD)	33115199
Skewness	3.354136575
Sum	3.92256961 × 10¹⁴
Variance	2.472709057 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
142932463	1	< 0.1%
200510928	1	< 0.1%
190885495	1	< 0.1%
130051894	1	< 0.1%
141874819	1	< 0.1%
700762520	1	< 0.1%
130235979	1	< 0.1%
192325156	1	< 0.1%
190045021	1	< 0.1%
132706820	1	< 0.1%
Other values (2434853)	2434853	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10000019	1	< 0.1%
10000021	1	< 0.1%
10000024	1	< 0.1%
10000025	1	< 0.1%
10000031	1	< 0.1%
10000035	1	< 0.1%
10000047	1	< 0.1%
10000051	1	< 0.1%
10000058	1	< 0.1%
10000064	1	< 0.1%

Value	Count	Frequency (%)
970005601	1	< 0.1%
970005530	1	< 0.1%
970005518	1	< 0.1%
970005506	1	< 0.1%
970005504	1	< 0.1%
970005501	1	< 0.1%
970005497	1	< 0.1%
970005486	1	< 0.1%
970005469	1	< 0.1%
970005465	1	< 0.1%

date_of_report
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

20220901.0	2434863

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	24348630
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20220901.0
2nd row	20220901.0
3rd row	20220901.0
4th row	20220901.0
5th row	20220901.0

Common Values

Value	Count	Frequency (%)
20220901.0	2434863	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
20220901.0	2434863	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	9739452	40.0%
2	7304589	30.0%
9	2434863	10.0%
1	2434863	10.0%
.	2434863	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21913767	90.0%
Other Punctuation	2434863	10.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9739452	44.4%
2	7304589	33.3%
9	2434863	11.1%
1	2434863	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	2434863	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	24348630	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9739452	40.0%
2	7304589	30.0%
9	2434863	10.0%
1	2434863	10.0%
.	2434863	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24348630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9739452	40.0%
2	7304589	30.0%
9	2434863	10.0%
1	2434863	10.0%
.	2434863	10.0%

gender
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

Male	1534446
Female	900034
Unknown	383

Length

Max length	7
Median length	4
Mean length	4.739761128
Min length	4

Characters and Unicode

Total characters	11540669
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	1534446	63.0%
Female	900034	37.0%
Unknown	383	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	1534446	63.0%
female	900034	37.0%
unknown	383	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	3334514	28.9%
a	2434480	21.1%
l	2434480	21.1%
M	1534446	13.3%
F	900034	7.8%
m	900034	7.8%
n	1149	< 0.1%
U	383	< 0.1%
k	383	< 0.1%
o	383	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9105806	78.9%
Uppercase Letter	2434863	21.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3334514	36.6%
a	2434480	26.7%
l	2434480	26.7%
m	900034	9.9%
n	1149	< 0.1%
k	383	< 0.1%
o	383	< 0.1%
w	383	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
M	1534446	63.0%
F	900034	37.0%
U	383	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11540669	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3334514	28.9%
a	2434480	21.1%
l	2434480	21.1%
M	1534446	13.3%
F	900034	7.8%
m	900034	7.8%
n	1149	< 0.1%
U	383	< 0.1%
k	383	< 0.1%
o	383	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11540669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3334514	28.9%
a	2434480	21.1%
l	2434480	21.1%
M	1534446	13.3%
F	900034	7.8%
m	900034	7.8%
n	1149	< 0.1%
U	383	< 0.1%
k	383	< 0.1%
o	383	< 0.1%

occupation
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	393545
db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	353778
0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	251668
735d33de78e4c7303ea1bbfa00fc0eebc656b24fd8a0d5fecfe8e2da64092701	227929
cc7cc7b16765e55be80f0b222f9ceea451304704fbc78664597e80a23da9f588	214579
Other values (26)	993364

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155831232
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1d3134e05d4736dd523e8da18153fee1683082c8047194972a00bef74936fd6d
2nd row	d56baa23c666005144806b1143e76f89d80bb0d5087ac44e63668cd6b415ccc0
3rd row	2591e99784666567fe15b2059e3f2050b0e9d1226bde8f911aa4a3e2dcc2436e
4th row	3c78d9603676c68c5f26d0f4fb2ed5026456cd799b53aa64373f64b6cda34a43
5th row	0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c

Common Values

Value	Count	Frequency (%)
a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	393545	16.2%
db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	353778	14.5%
0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	251668	10.3%
735d33de78e4c7303ea1bbfa00fc0eebc656b24fd8a0d5fecfe8e2da64092701	227929	9.4%
cc7cc7b16765e55be80f0b222f9ceea451304704fbc78664597e80a23da9f588	214579	8.8%
b38c06347169ddbe0700cdba20f63d3e4bbaaacfa6714118d21ea474d70ab2e2	211624	8.7%
1d3134e05d4736dd523e8da18153fee1683082c8047194972a00bef74936fd6d	133490	5.5%
bb83ee9de0d25e9b1a9d509fa87bcd5d4788ae27c16361d453f20536ed202094	123122	5.1%
3c78d9603676c68c5f26d0f4fb2ed5026456cd799b53aa64373f64b6cda34a43	108885	4.5%
d56baa23c666005144806b1143e76f89d80bb0d5087ac44e63668cd6b415ccc0	105210	4.3%
Other values (21)	311033	12.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	393545	16.2%
db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	353778	14.5%
0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	251668	10.3%
735d33de78e4c7303ea1bbfa00fc0eebc656b24fd8a0d5fecfe8e2da64092701	227929	9.4%
cc7cc7b16765e55be80f0b222f9ceea451304704fbc78664597e80a23da9f588	214579	8.8%
b38c06347169ddbe0700cdba20f63d3e4bbaaacfa6714118d21ea474d70ab2e2	211624	8.7%
1d3134e05d4736dd523e8da18153fee1683082c8047194972a00bef74936fd6d	133490	5.5%
bb83ee9de0d25e9b1a9d509fa87bcd5d4788ae27c16361d453f20536ed202094	123122	5.1%
3c78d9603676c68c5f26d0f4fb2ed5026456cd799b53aa64373f64b6cda34a43	108885	4.5%
d56baa23c666005144806b1143e76f89d80bb0d5087ac44e63668cd6b415ccc0	105210	4.3%
Other values (21)	311033	12.8%

Most occurring characters

Value	Count	Frequency (%)
e	12355194	7.9%
0	12043342	7.7%
d	11915480	7.6%
2	10864861	7.0%
c	10547071	6.8%
a	10336172	6.6%
4	10312040	6.6%
7	10128844	6.5%
b	9923593	6.4%
6	9796095	6.3%
Other values (6)	47608540	30.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	94007069	60.3%
Lowercase Letter	61824163	39.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12043342	12.8%
2	10864861	11.6%
4	10312040	11.0%
7	10128844	10.8%
6	9796095	10.4%
1	9334336	9.9%
3	9265552	9.9%
5	8589178	9.1%
8	7853090	8.4%
9	5819731	6.2%

Lowercase Letter

Value	Count	Frequency (%)
e	12355194	20.0%
d	11915480	19.3%
c	10547071	17.1%
a	10336172	16.7%
b	9923593	16.1%
f	6746653	10.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	94007069	60.3%
Latin	61824163	39.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12043342	12.8%
2	10864861	11.6%
4	10312040	11.0%
7	10128844	10.8%
6	9796095	10.4%
1	9334336	9.9%
3	9265552	9.9%
5	8589178	9.1%
8	7853090	8.4%
9	5819731	6.2%

Latin

Value	Count	Frequency (%)
e	12355194	20.0%
d	11915480	19.3%
c	10547071	17.1%
a	10336172	16.7%
b	9923593	16.1%
f	6746653	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155831232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12355194	7.9%
0	12043342	7.7%
d	11915480	7.6%
2	10864861	7.0%
c	10547071	6.8%
a	10336172	6.6%
4	10312040	6.6%
7	10128844	6.5%
b	9923593	6.4%
6	9796095	6.3%
Other values (6)	47608540	30.6%

nationality
Categorical

HIGH CORRELATION

Distinct	23
Distinct (%)	< 0.1%
Missing	384
Missing (%)	< 0.1%
Memory size	18.6 MiB

522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	2434414
b7a8bf8c2b775d53a0c09b2232326536ba50ef3cf0ee37cc40c7f35b64b99b0a	11
2f2599004a972e8ff6cea52d23ee5863ccd75d39c779e30250314038f22edfee	8
c8384ec85ceb0443a150112b5410a53daef242f0bc6649e2c4fd7b28454b8fec	8
756ccb3836d7412b19620976e8a0e3a3937e935e6b4dc102a780fb4ec3b33e29	6
Other values (18)	32

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155806656
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	< 0.1%

Sample

1st row	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6
2nd row	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6
3rd row	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6
4th row	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6
5th row	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6

Common Values

Value	Count	Frequency (%)
522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	2434414	> 99.9%
b7a8bf8c2b775d53a0c09b2232326536ba50ef3cf0ee37cc40c7f35b64b99b0a	11	< 0.1%
2f2599004a972e8ff6cea52d23ee5863ccd75d39c779e30250314038f22edfee	8	< 0.1%
c8384ec85ceb0443a150112b5410a53daef242f0bc6649e2c4fd7b28454b8fec	8	< 0.1%
756ccb3836d7412b19620976e8a0e3a3937e935e6b4dc102a780fb4ec3b33e29	6	< 0.1%
1e325ce00b0869a7a5dc93dce979cfb355694c25462ee78490aa32f0e1f12c84	5	< 0.1%
4dd44846592eae99c4cb36fe9fb7949a173bdd9e12d3964c3cd3dfc1510bd6e3	4	< 0.1%
6a3fc4dd53c6279fe922c7c5824a4942bbaab9dc5faec66bc8aa3eecf2ad33a4	3	< 0.1%
b005a90e52784e8288643270240a2c7258ee49ea38ad3d8a285926d160b2b986	3	< 0.1%
d421904b08e73ffb95df8782b428fd213dbd282847a992ac323944a5f7e9c46e	2	< 0.1%
Other values (13)	15	< 0.1%
(Missing)	384	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	2434414	> 99.9%
b7a8bf8c2b775d53a0c09b2232326536ba50ef3cf0ee37cc40c7f35b64b99b0a	11	< 0.1%
2f2599004a972e8ff6cea52d23ee5863ccd75d39c779e30250314038f22edfee	8	< 0.1%
c8384ec85ceb0443a150112b5410a53daef242f0bc6649e2c4fd7b28454b8fec	8	< 0.1%
756ccb3836d7412b19620976e8a0e3a3937e935e6b4dc102a780fb4ec3b33e29	6	< 0.1%
1e325ce00b0869a7a5dc93dce979cfb355694c25462ee78490aa32f0e1f12c84	5	< 0.1%
4dd44846592eae99c4cb36fe9fb7949a173bdd9e12d3964c3cd3dfc1510bd6e3	4	< 0.1%
6a3fc4dd53c6279fe922c7c5824a4942bbaab9dc5faec66bc8aa3eecf2ad33a4	3	< 0.1%
b005a90e52784e8288643270240a2c7258ee49ea38ad3d8a285926d160b2b986	3	< 0.1%
223fc07d653a18ed51a1ed2599d48761068ec78097ab82e5ab9e23dea863314a	2	< 0.1%
Other values (13)	15	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
c	19475616	12.5%
7	14606714	9.4%
a	14606714	9.4%
f	12172299	7.8%
6	12172282	7.8%
2	9738006	6.3%
3	9737986	6.3%
5	9737926	6.3%
4	9737923	6.3%
b	9737922	6.3%
Other values (6)	34083268	21.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85207093	54.7%
Lowercase Letter	70599563	45.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	14606714	17.1%
6	12172282	14.3%
2	9738006	11.4%
3	9737986	11.4%
5	9737926	11.4%
4	9737923	11.4%
9	7303505	8.6%
0	4869108	5.7%
1	4868996	5.7%
8	2434647	2.9%

Lowercase Letter

Value	Count	Frequency (%)
c	19475616	27.6%
a	14606714	20.7%
f	12172299	17.2%
b	9737922	13.8%
e	7303556	10.3%
d	7303456	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	85207093	54.7%
Latin	70599563	45.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	14606714	17.1%
6	12172282	14.3%
2	9738006	11.4%
3	9737986	11.4%
5	9737926	11.4%
4	9737923	11.4%
9	7303505	8.6%
0	4869108	5.7%
1	4868996	5.7%
8	2434647	2.9%

Latin

Value	Count	Frequency (%)
c	19475616	27.6%
a	14606714	20.7%
f	12172299	17.2%
b	9737922	13.8%
e	7303556	10.3%
d	7303456	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155806656	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	19475616	12.5%
7	14606714	9.4%
a	14606714	9.4%
f	12172299	7.8%
6	12172282	7.8%
2	9738006	6.3%
3	9737986	6.3%
5	9737926	6.3%
4	9737923	6.3%
b	9737922	6.3%
Other values (6)	34083268	21.9%

race
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	1929101
99b0a2098212fca2a4b7e72c48081e4290f2f75004ba54d402df38647113cacc	232116
83ad5f646c236e5afc36e3f3353c6f6f8ba983653b117d5340f9a5248fe11d00	181816
97e44d546f8c88f0a19f0e8db7e2069337b7e6924b7cd230a00710d7b9b53d00	91447
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155831232
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5
2nd row	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5
3rd row	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5
4th row	83ad5f646c236e5afc36e3f3353c6f6f8ba983653b117d5340f9a5248fe11d00
5th row	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5

Common Values

Value	Count	Frequency (%)
3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	1929101	79.2%
99b0a2098212fca2a4b7e72c48081e4290f2f75004ba54d402df38647113cacc	232116	9.5%
83ad5f646c236e5afc36e3f3353c6f6f8ba983653b117d5340f9a5248fe11d00	181816	7.5%
97e44d546f8c88f0a19f0e8db7e2069337b7e6924b7cd230a00710d7b9b53d00	91447	3.8%
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	1929101	79.2%
99b0a2098212fca2a4b7e72c48081e4290f2f75004ba54d402df38647113cacc	232116	9.5%
83ad5f646c236e5afc36e3f3353c6f6f8ba983653b117d5340f9a5248fe11d00	181816	7.5%
97e44d546f8c88f0a19f0e8db7e2069337b7e6924b7cd230a00710d7b9b53d00	91447	3.8%
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
f	19840107	12.7%
6	17214275	11.0%
a	13646876	8.8%
3	12294834	7.9%
4	12182702	7.8%
2	10213220	6.6%
c	9607241	6.2%
9	9466501	6.1%
d	9184468	5.9%
e	9092638	5.8%
Other values (6)	33088370	21.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91011671	58.4%
Lowercase Letter	64819561	41.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	17214275	18.9%
3	12294834	13.5%
4	12182702	13.4%
2	10213220	11.2%
9	9466501	10.4%
0	8781735	9.6%
5	7526091	8.3%
1	5699888	6.3%
8	3950617	4.3%
7	3681808	4.0%

Lowercase Letter

Value	Count	Frequency (%)
f	19840107	30.6%
a	13646876	21.1%
c	9607241	14.8%
d	9184468	14.2%
e	9092638	14.0%
b	3448231	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	91011671	58.4%
Latin	64819561	41.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	17214275	18.9%
3	12294834	13.5%
4	12182702	13.4%
2	10213220	11.2%
9	9466501	10.4%
0	8781735	9.6%
5	7526091	8.3%
1	5699888	6.3%
8	3950617	4.3%
7	3681808	4.0%

Latin

Value	Count	Frequency (%)
f	19840107	30.6%
a	13646876	21.1%
c	9607241	14.8%
d	9184468	14.2%
e	9092638	14.0%
b	3448231	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155831232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	19840107	12.7%
6	17214275	11.0%
a	13646876	8.8%
3	12294834	7.9%
4	12182702	7.8%
2	10213220	6.6%
c	9607241	6.2%
9	9466501	6.1%
d	9184468	5.9%
e	9092638	5.8%
Other values (6)	33088370	21.2%

marital_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	32
Missing (%)	< 0.1%
Memory size	18.6 MiB

8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	1500428
8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	887912
10a033a3053ce4de82085eef58d58d9ed93638cb095d4c6747e992305aebdcbf	29083
14a1e8ee89b963b94242cbb2fbfbb1327eb20846632856b18f0562d2218d7371	17025
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155829184
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5
2nd row	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01
3rd row	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01
4th row	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5
5th row	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5

Common Values

Value	Count	Frequency (%)
8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	1500428	61.6%
8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	887912	36.5%
10a033a3053ce4de82085eef58d58d9ed93638cb095d4c6747e992305aebdcbf	29083	1.2%
14a1e8ee89b963b94242cbb2fbfbb1327eb20846632856b18f0562d2218d7371	17025	0.7%
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383	< 0.1%
(Missing)	32	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	1500428	61.6%
8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	887912	36.5%
10a033a3053ce4de82085eef58d58d9ed93638cb095d4c6747e992305aebdcbf	29083	1.2%
14a1e8ee89b963b94242cbb2fbfbb1327eb20846632856b18f0562d2218d7371	17025	0.7%
b764cdc0eab7137467211272fa539f1260d1bf2e71bcf6ff3bdc960f5c16aa14	383	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
7	18054951	11.6%
d	12763913	8.2%
4	12098198	7.8%
2	11879610	7.6%
0	10926365	7.0%
e	10101203	6.5%
a	9934562	6.4%
b	9520353	6.1%
6	9423553	6.0%
3	9213674	5.9%
Other values (6)	41912802	26.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	99207315	63.7%
Lowercase Letter	56621869	36.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	18054951	18.2%
4	12098198	12.2%
2	11879610	12.0%
0	10926365	11.0%
6	9423553	9.5%
3	9213674	9.3%
8	9188409	9.3%
9	7362276	7.4%
5	5598510	5.6%
1	5461769	5.5%

Lowercase Letter

Value	Count	Frequency (%)
d	12763913	22.5%
e	10101203	17.8%
a	9934562	17.5%
b	9520353	16.8%
f	7889458	13.9%
c	6412380	11.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	99207315	63.7%
Latin	56621869	36.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	18054951	18.2%
4	12098198	12.2%
2	11879610	12.0%
0	10926365	11.0%
6	9423553	9.5%
3	9213674	9.3%
8	9188409	9.3%
9	7362276	7.4%
5	5598510	5.6%
1	5461769	5.5%

Latin

Value	Count	Frequency (%)
d	12763913	22.5%
e	10101203	17.8%
a	9934562	17.5%
b	9520353	16.8%
f	7889458	13.9%
c	6412380	11.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155829184	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	18054951	11.6%
d	12763913	8.2%
4	12098198	7.8%
2	11879610	7.6%
0	10926365	7.0%
e	10101203	6.5%
a	9934562	6.4%
b	9520353	6.1%
6	9423553	6.0%
3	9213674	5.9%
Other values (6)	41912802	26.9%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	80
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.31132552

Minimum	0
Maximum	122
Zeros	383
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	24
Q1	30
median	36
Q3	45
95-th percentile	59
Maximum	122
Range	122
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.67125772
Coefficient of variation (CV)	0.278540551
Kurtosis	0.04305776584
Mean	38.31132552
Median Absolute Deviation (MAD)	7
Skewness	0.685594358
Sum	93282829
Variance	113.8757414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34	98275	4.0%
32	98233	4.0%
35	97846	4.0%
31	97794	4.0%
30	97214	4.0%
36	97174	4.0%
33	94371	3.9%
29	93020	3.8%
37	92982	3.8%
38	86804	3.6%
Other values (70)	1481150	60.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	383	< 0.1%
9	2	< 0.1%
13	1	< 0.1%
15	1	< 0.1%
17	2	< 0.1%
18	224	< 0.1%
19	4203	0.2%
20	11633	0.5%
21	19417	0.8%
22	30790	1.3%

Value	Count	Frequency (%)
122	47	< 0.1%
115	2	< 0.1%
112	1	< 0.1%
102	1	< 0.1%
88	1	< 0.1%
87	2	< 0.1%
86	3	< 0.1%
85	1	< 0.1%
84	9	< 0.1%
83	13	< 0.1%

home_address
Categorical

HIGH CARDINALITY

Distinct	1807
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

43000	33423
81700	31048
81200	30877
81100	30570
81300	30421
Other values (1802)	2278524

Length

Max length	5
Median length	5
Mean length	4.994149979
Min length	1

Characters and Unicode

Total characters	12160071
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	224 ?
Unique (%)	< 0.1%

Sample

1st row	55100
2nd row	84900
3rd row	07000
4th row	58000
5th row	43500

Common Values

Value	Count	Frequency (%)
43000	33423	1.4%
81700	31048	1.3%
81200	30877	1.3%
81100	30570	1.3%
81300	30421	1.2%
68100	27322	1.1%
93050	25437	1.0%
08000	24315	1.0%
98000	24206	1.0%
88450	23725	1.0%
Other values (1797)	2153519	88.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
43000	33423	1.4%
81700	31048	1.3%
81200	30877	1.3%
81100	30570	1.3%
81300	30421	1.2%
68100	27322	1.1%
93050	25437	1.0%
08000	24315	1.0%
98000	24206	1.0%
88450	23725	1.0%
Other values (1797)	2153519	88.4%

Most occurring characters

Value	Count	Frequency (%)
0	5321805	43.8%
1	1171503	9.6%
8	885237	7.3%
4	880556	7.2%
5	797640	6.6%
2	793760	6.5%
3	759225	6.2%
7	590974	4.9%
6	516751	4.2%
9	439059	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12156510	> 99.9%
Dash Punctuation	3561	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5321805	43.8%
1	1171503	9.6%
8	885237	7.3%
4	880556	7.2%
5	797640	6.6%
2	793760	6.5%
3	759225	6.2%
7	590974	4.9%
6	516751	4.3%
9	439059	3.6%

Dash Punctuation

Value	Count	Frequency (%)
-	3561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12160071	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5321805	43.8%
1	1171503	9.6%
8	885237	7.3%
4	880556	7.2%
5	797640	6.6%
2	793760	6.5%
3	759225	6.2%
7	590974	4.9%
6	516751	4.2%
9	439059	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12160071	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5321805	43.8%
1	1171503	9.6%
8	885237	7.3%
4	880556	7.2%
5	797640	6.6%
2	793760	6.5%
3	759225	6.2%
7	590974	4.9%
6	516751	4.2%
9	439059	3.6%

residence_type
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	1842
Missing (%)	0.1%
Memory size	18.6 MiB

c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	784974
98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	735796
3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	449127
055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	207907
a3ccf1236ee8a45f9dd05b9db992f701d0aba9006879742d48ca2f10191bee90	165195
Other values (2)	90022

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155713344
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506
2nd row	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6
3rd row	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6
4th row	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c
5th row	fcaa4020673f3cadd8a84f92af02c59f2b586ea2830d6a078961513287c98dbe

Common Values

Value	Count	Frequency (%)
c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	784974	32.2%
98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	735796	30.2%
3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	449127	18.4%
055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	207907	8.5%
a3ccf1236ee8a45f9dd05b9db992f701d0aba9006879742d48ca2f10191bee90	165195	6.8%
fcaa4020673f3cadd8a84f92af02c59f2b586ea2830d6a078961513287c98dbe	80307	3.3%
ebdad9ba4c5e3ce0078ad8e8fb31e4c76176834cd2370f05bd043e4baf8d6c5a	9715	0.4%
(Missing)	1842	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	784974	32.3%
98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	735796	30.2%
3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	449127	18.5%
055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	207907	8.5%
a3ccf1236ee8a45f9dd05b9db992f701d0aba9006879742d48ca2f10191bee90	165195	6.8%
fcaa4020673f3cadd8a84f92af02c59f2b586ea2830d6a078961513287c98dbe	80307	3.3%
ebdad9ba4c5e3ce0078ad8e8fb31e4c76176834cd2370f05bd043e4baf8d6c5a	9715	0.4%

Most occurring characters

Value	Count	Frequency (%)
f	12897123	8.3%
8	12776574	8.2%
0	12270140	7.9%
5	12054029	7.7%
9	10620804	6.8%
a	10607973	6.8%
d	10497505	6.7%
2	10183535	6.5%
6	10033148	6.4%
4	9525541	6.1%
Other values (6)	44246972	28.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	101598237	65.2%
Lowercase Letter	54115107	34.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	12776574	12.6%
0	12270140	12.1%
5	12054029	11.9%
9	10620804	10.5%
2	10183535	10.0%
6	10033148	9.9%
4	9525541	9.4%
7	9505235	9.4%
1	8724354	8.6%
3	5904877	5.8%

Lowercase Letter

Value	Count	Frequency (%)
f	12897123	23.8%
a	10607973	19.6%
d	10497505	19.4%
e	7729349	14.3%
c	7398800	13.7%
b	4984357	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	101598237	65.2%
Latin	54115107	34.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	12776574	12.6%
0	12270140	12.1%
5	12054029	11.9%
9	10620804	10.5%
2	10183535	10.0%
6	10033148	9.9%
4	9525541	9.4%
7	9505235	9.4%
1	8724354	8.6%
3	5904877	5.8%

Latin

Value	Count	Frequency (%)
f	12897123	23.8%
a	10607973	19.6%
d	10497505	19.4%
e	7729349	14.3%
c	7398800	13.7%
b	4984357	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155713344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	12897123	8.3%
8	12776574	8.2%
0	12270140	7.9%
5	12054029	7.7%
9	10620804	6.8%
a	10607973	6.8%
d	10497505	6.7%
2	10183535	6.5%
6	10033148	6.4%
4	9525541	6.1%
Other values (6)	44246972	28.4%

educational_qualification
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	2208750
Missing (%)	90.7%
Memory size	18.6 MiB

9369fec11043557b808b5faf7684d5281b8e69bdb2cf661546a51406e8b89c8d	132195
74a30f9c0c4638c759eeb1abc1b8857dfa8b26b6dbab306a1e6a3245dbec6235	53222
dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8	37013
30b3ef70d36d51469cd2c93dedfdf377f2cff6caa760d6361f1ab91a29f5070c	3683

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	14471232
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8
2nd row	74a30f9c0c4638c759eeb1abc1b8857dfa8b26b6dbab306a1e6a3245dbec6235
3rd row	dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8
4th row	9369fec11043557b808b5faf7684d5281b8e69bdb2cf661546a51406e8b89c8d
5th row	9369fec11043557b808b5faf7684d5281b8e69bdb2cf661546a51406e8b89c8d

Common Values

Value	Count	Frequency (%)
9369fec11043557b808b5faf7684d5281b8e69bdb2cf661546a51406e8b89c8d	132195	5.4%
74a30f9c0c4638c759eeb1abc1b8857dfa8b26b6dbab306a1e6a3245dbec6235	53222	2.2%
dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8	37013	1.5%
30b3ef70d36d51469cd2c93dedfdf377f2cff6caa760d6361f1ab91a29f5070c	3683	0.2%
(Missing)	2208750	90.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9369fec11043557b808b5faf7684d5281b8e69bdb2cf661546a51406e8b89c8d	132195	58.5%
74a30f9c0c4638c759eeb1abc1b8857dfa8b26b6dbab306a1e6a3245dbec6235	53222	23.5%
dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8	37013	16.4%
30b3ef70d36d51469cd2c93dedfdf377f2cff6caa760d6361f1ab91a29f5070c	3683	1.6%

Most occurring characters

Value	Count	Frequency (%)
8	1529539	10.6%
6	1414847	9.8%
b	1337351	9.2%
5	1161476	8.0%
1	1094464	7.6%
d	804110	5.6%
4	803168	5.6%
9	798008	5.5%
e	764891	5.3%
c	755136	5.2%
Other values (6)	4008242	27.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9435563	65.2%
Lowercase Letter	5035669	34.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	1529539	16.2%
6	1414847	15.0%
5	1161476	12.3%
1	1094464	11.6%
4	803168	8.5%
9	798008	8.5%
0	685705	7.3%
7	664549	7.0%
3	663637	7.0%
2	620170	6.6%

Lowercase Letter

Value	Count	Frequency (%)
b	1337351	26.6%
d	804110	16.0%
e	764891	15.2%
c	755136	15.0%
a	709493	14.1%
f	664688	13.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	9435563	65.2%
Latin	5035669	34.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	1529539	16.2%
6	1414847	15.0%
5	1161476	12.3%
1	1094464	11.6%
4	803168	8.5%
9	798008	8.5%
0	685705	7.3%
7	664549	7.0%
3	663637	7.0%
2	620170	6.6%

Latin

Value	Count	Frequency (%)
b	1337351	26.6%
d	804110	16.0%
e	764891	15.2%
c	755136	15.0%
a	709493	14.1%
f	664688	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14471232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	1529539	10.6%
6	1414847	9.8%
b	1337351	9.2%
5	1161476	8.0%
1	1094464	7.6%
d	804110	5.6%
4	803168	5.6%
9	798008	5.5%
e	764891	5.3%
c	755136	5.2%
Other values (6)	4008242	27.7%

type_of_employment
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	383
Missing (%)	< 0.1%
Memory size	18.6 MiB

9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	2342330
32f074477f7f9efed2b283e51bf8ae7c641d01ee446f44ab30b609bc916d59c2	92150

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	155806720
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920
2nd row	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920
3rd row	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920
4th row	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920
5th row	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920

Common Values

Value	Count	Frequency (%)
9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	2342330	96.2%
32f074477f7f9efed2b283e51bf8ae7c641d01ee446f44ab30b609bc916d59c2	92150	3.8%
(Missing)	383	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	2342330	96.2%
32f074477f7f9efed2b283e51bf8ae7c641d01ee446f44ab30b609bc916d59c2	92150	3.8%

Most occurring characters

Value	Count	Frequency (%)
2	19107240	12.3%
9	14422580	9.3%
0	14422580	9.3%
4	12356700	7.9%
7	9830070	6.3%
1	9737920	6.2%
6	9737920	6.2%
c	9645770	6.2%
a	9553620	6.1%
f	7579890	4.9%
Other values (6)	39412430	25.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	108998700	70.0%
Lowercase Letter	46808020	30.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	19107240	17.5%
9	14422580	13.2%
0	14422580	13.2%
4	12356700	11.3%
7	9830070	9.0%
1	9737920	8.9%
6	9737920	8.9%
3	7303440	6.7%
5	7211290	6.6%
8	4868960	4.5%

Lowercase Letter

Value	Count	Frequency (%)
c	9645770	20.6%
a	9553620	20.4%
f	7579890	16.2%
e	7579890	16.2%
d	7303440	15.6%
b	5145410	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108998700	70.0%
Latin	46808020	30.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	19107240	17.5%
9	14422580	13.2%
0	14422580	13.2%
4	12356700	11.3%
7	9830070	9.0%
1	9737920	8.9%
6	9737920	8.9%
3	7303440	6.7%
5	7211290	6.6%
8	4868960	4.5%

Latin

Value	Count	Frequency (%)
c	9645770	20.6%
a	9553620	20.4%
f	7579890	16.2%
e	7579890	16.2%
d	7303440	15.6%
b	5145410	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155806720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	19107240	12.3%
9	14422580	9.3%
0	14422580	9.3%
4	12356700	7.9%
7	9830070	6.3%
1	9737920	6.2%
6	9737920	6.2%
c	9645770	6.2%
a	9553620	6.1%
f	7579890	4.9%
Other values (6)	39412430	25.3%

annual_income
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	407779
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33501.46975

Minimum	0
Maximum	1000000000
Zeros	21360
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	11040
Q1	17292
median	25212
Q3	38736
95-th percentile	75002.34
Maximum	1000000000
Range	1000000000
Interquartile range (IQR)	21444

Descriptive statistics

Standard deviation	911356.57
Coefficient of variation (CV)	27.20348023
Kurtosis	1190561.509
Mean	33501.46975
Median Absolute Deviation (MAD)	9737.4
Skewness	1085.445471
Sum	8.157148913 × 10¹⁰
Variance	8.305707978 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12000	109087	4.5%
18000	51459	2.1%
14400	45273	1.9%
24000	34373	1.4%
21600	26238	1.1%
30000	24404	1.0%
15600	22087	0.9%
13200	21827	0.9%
36000	21408	0.9%
0	21360	0.9%
Other values (407769)	2057347	84.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	21360	0.9%
0.12	2	< 0.1%
0.48	1	< 0.1%
0.96	66	< 0.1%
1	2	< 0.1%
2	5	< 0.1%
4.92	1	< 0.1%
9	2	< 0.1%
12	2407	0.1%
12.96	1	< 0.1%

Value	Count	Frequency (%)
1000000000	2	< 0.1%
66832104	1	< 0.1%
52768500	1	< 0.1%
37200000	1	< 0.1%
34584624	1	< 0.1%
29942724	1	< 0.1%
28288692	1	< 0.1%
28152060	1	< 0.1%
25891344	1	< 0.1%
24960000	1	< 0.1%

vip_status
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2434813
True	50

Common Values
Chart

Value	Count	Frequency (%)
False	2434813	> 99.9%
True	50	< 0.1%

number_of_dependents
Real number (ℝ)

ZEROS

Distinct	58
Distinct (%)	< 0.1%
Missing	383
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.566322171

Minimum	-1
Maximum	83
Zeros	1114516
Zeros (%)	45.8%
Negative	32
Negative (%)	< 0.1%
Memory size	18.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	5
Maximum	83
Range	84
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.963035124
Coefficient of variation (CV)	1.253276727
Kurtosis	11.47532085
Mean	1.566322171
Median Absolute Deviation (MAD)	1
Skewness	1.673430899
Sum	3813180
Variance	3.853506899
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1114516	45.8%
1	347207	14.3%
2	318779	13.1%
3	231967	9.5%
4	179798	7.4%
5	136147	5.6%
6	57190	2.3%
7	25839	1.1%
8	12715	0.5%
9	4063	0.2%
Other values (48)	6259	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	32	< 0.1%
0	1114516	45.8%
1	347207	14.3%
2	318779	13.1%
3	231967	9.5%
4	179798	7.4%
5	136147	5.6%
6	57190	2.3%
7	25839	1.1%
8	12715	0.5%

Value	Count	Frequency (%)
83	1	< 0.1%
82	1	< 0.1%
81	1	< 0.1%
61	1	< 0.1%
60	2	< 0.1%
59	1	< 0.1%
58	1	< 0.1%
57	1	< 0.1%
54	1	< 0.1%
52	2	< 0.1%

mobile_app_status
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2281804
True	153059

Common Values
Chart

Value	Count	Frequency (%)
False	2281804	93.7%
True	153059	6.3%

opt_out
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2434477
True	386

Common Values
Chart

Value	Count	Frequency (%)
False	2434477	> 99.9%
True	386	< 0.1%

customer_with_active_credit_card
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2354649
True	80214

Common Values
Chart

Value	Count	Frequency (%)
False	2354649	96.7%
True	80214	3.3%

current_ca_credit_limit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	225
Distinct (%)	0.3%
Missing	2354649
Missing (%)	96.7%
Infinite	0
Infinite (%)	0.0%
Mean	3242.249857

Minimum	0
Maximum	80000
Zeros	198
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	800
Q1	1500
median	2400
Q3	4000
95-th percentile	8000
Maximum	80000
Range	80000
Interquartile range (IQR)	2500

Descriptive statistics

Standard deviation	2946.655532
Coefficient of variation (CV)	0.9088304918
Kurtosis	29.76281661
Mean	3242.249857
Median Absolute Deviation (MAD)	1200
Skewness	3.781233446
Sum	260073830
Variance	8682778.822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	8207	0.3%
4000	8147	0.3%
2400	7838	0.3%
1600	6777	0.3%
3200	5137	0.2%
1500	4558	0.2%
800	4547	0.2%
4800	4502	0.2%
2000	4379	0.2%
1800	2684	0.1%
Other values (215)	23438	1.0%
(Missing)	2354649	96.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	198	< 0.1%
200	23	< 0.1%
400	398	< 0.1%
500	3	< 0.1%
600	677	< 0.1%
630	1	< 0.1%
700	6	< 0.1%
750	15	< 0.1%
780	1	< 0.1%
800	4547	0.2%

Value	Count	Frequency (%)
80000	1	< 0.1%
64000	2	< 0.1%
52000	1	< 0.1%
48000	1	< 0.1%
44000	1	< 0.1%
40000	17	< 0.1%
38400	1	< 0.1%
36000	3	< 0.1%
35200	1	< 0.1%
34400	1	< 0.1%

current_cp_credit_limit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	106
Distinct (%)	0.1%
Missing	2354649
Missing (%)	96.7%
Infinite	0
Infinite (%)	0.0%
Mean	5503.516842

Minimum	1000
Maximum	200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	1000
5-th percentile	2000
Q1	3000
median	5000
Q3	6000
95-th percentile	12000
Maximum	200000
Range	199000
Interquartile range (IQR)	3000

Descriptive statistics

Standard deviation	4152.811597
Coefficient of variation (CV)	0.7545741598
Kurtosis	96.90895572
Mean	5503.516842
Median Absolute Deviation (MAD)	1500
Skewness	5.268885842
Sum	441459100
Variance	17245844.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	16781	0.7%
3000	14235	0.6%
4000	11210	0.5%
2000	8445	0.3%
6000	8066	0.3%
8000	4391	0.2%
10000	3258	0.1%
20000	2461	0.1%
7000	2262	0.1%
3500	1438	0.1%
Other values (96)	7667	0.3%
(Missing)	2354649	96.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000	11	< 0.1%
1500	1	< 0.1%
2000	8445	0.3%
2100	2	< 0.1%
2200	7	< 0.1%
2300	7	< 0.1%
2400	1	< 0.1%
2500	740	< 0.1%
2600	10	< 0.1%
2700	6	< 0.1%

Value	Count	Frequency (%)
200000	1	< 0.1%
130000	1	< 0.1%
100000	1	< 0.1%
80000	5	< 0.1%
60000	7	< 0.1%
55000	1	< 0.1%
50000	36	< 0.1%
48000	1	< 0.1%
45000	6	< 0.1%
44000	1	< 0.1%

initial_ca_credit_limit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	231
Distinct (%)	0.3%
Missing	2361902
Missing (%)	97.0%
Infinite	0
Infinite (%)	0.0%
Mean	2192.955415

Minimum	0
Maximum	80000
Zeros	3445
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	400
Q1	1200
median	1600
Q3	2400
95-th percentile	6000
Maximum	80000
Range	80000
Interquartile range (IQR)	1200

Descriptive statistics

Standard deviation	2041.100823
Coefficient of variation (CV)	0.9307534526
Kurtosis	56.86861066
Mean	2192.955415
Median Absolute Deviation (MAD)	800
Skewness	4.235834927
Sum	160000220
Variance	4166092.572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	10288	0.4%
1600	6031	0.2%
2400	6024	0.2%
1500	5888	0.2%
800	5523	0.2%
2000	5405	0.2%
1800	3893	0.2%
400	3818	0.2%
0	3445	0.1%
3000	2465	0.1%
Other values (221)	20181	0.8%
(Missing)	2361902	97.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3445	0.1%
200	11	< 0.1%
400	3818	0.2%
500	1	< 0.1%
600	1104	< 0.1%
630	1	< 0.1%
700	8	< 0.1%
750	14	< 0.1%
780	1	< 0.1%
800	5523	0.2%

Value	Count	Frequency (%)
80000	1	< 0.1%
52000	1	< 0.1%
50000	1	< 0.1%
38400	1	< 0.1%
36000	1	< 0.1%
32700	1	< 0.1%
32000	2	< 0.1%
30000	2	< 0.1%
29600	1	< 0.1%
27600	1	< 0.1%

initial_cp_credit_limit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	103
Distinct (%)	0.1%
Missing	2361902
Missing (%)	97.0%
Infinite	0
Infinite (%)	0.0%
Mean	4975.475939

Minimum	0
Maximum	200000
Zeros	3155
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	2000
Q1	3000
median	4000
Q3	6000
95-th percentile	12000
Maximum	200000
Range	200000
Interquartile range (IQR)	3000

Descriptive statistics

Standard deviation	4078.600499
Coefficient of variation (CV)	0.8197407744
Kurtosis	106.2097189
Mean	4975.475939
Median Absolute Deviation (MAD)	1000
Skewness	5.216763843
Sum	363015700
Variance	16634982.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	14472	0.6%
3000	12501	0.5%
2000	11411	0.5%
4000	9343	0.4%
6000	6768	0.3%
8000	3436	0.1%
0	3155	0.1%
10000	2541	0.1%
20000	1884	0.1%
7000	1617	0.1%
Other values (93)	5833	0.2%
(Missing)	2361902	97.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3155	0.1%
1000	7	< 0.1%
2000	11411	0.5%
2100	3	< 0.1%
2200	6	< 0.1%
2300	7	< 0.1%
2400	1	< 0.1%
2500	567	< 0.1%
2600	10	< 0.1%
2700	5	< 0.1%

Value	Count	Frequency (%)
200000	1	< 0.1%
130000	1	< 0.1%
80000	4	< 0.1%
60000	3	< 0.1%
52000	1	< 0.1%
50000	29	< 0.1%
48000	1	< 0.1%
45000	4	< 0.1%
44000	1	< 0.1%
43000	1	< 0.1%

own_multiple_credit_card
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2429584
True	5279

Common Values
Chart

Value	Count	Frequency (%)
False	2429584	99.8%
True	5279	0.2%

supplementary_credit_card
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2434716
True	147

Common Values
Chart

Value	Count	Frequency (%)
False	2434716	> 99.9%
True	147	< 0.1%

credit_card_branch_location
Categorical

HIGH CARDINALITY

Distinct	120
Distinct (%)	< 0.1%
Missing	6757
Missing (%)	0.3%
Memory size	18.6 MiB

-	2354649
Aeon Credit Services Headquarters	26086
Klang	1294
Puchong	1285
Rawang	1281
Other values (115)	43511

Length

Max length	33
Median length	1
Mean length	1.526003807
Min length	1

Characters and Unicode

Total characters	3705299
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	-
2nd row	-
3rd row	-
4th row	-
5th row	-

Common Values

Value	Count	Frequency (%)
-	2354649	96.7%
Aeon Credit Services Headquarters	26086	1.1%
Klang	1294	0.1%
Puchong	1285	0.1%
Rawang	1281	0.1%
Midvalley	1264	0.1%
Tebrau City	1188	< 0.1%
Wangsa Maju	1183	< 0.1%
Johor Bahru	1086	< 0.1%
AU2	1083	< 0.1%
Other values (110)	37707	1.5%
(Missing)	6757	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	2354649	92.5%
aeon	31622	1.2%
credit	26086	1.0%
services	26086	1.0%
headquarters	26086	1.0%
co	2951	0.1%
bukit	2589	0.1%
alam	2333	0.1%
shah	2333	0.1%
kota	1969	0.1%
Other values (126)	69797	2.7%

Most occurring characters

Value	Count	Frequency (%)
-	2354649	63.5%
e	173301	4.7%
a	125721	3.4%
r	119839	3.2%
	118395	3.2%
i	71290	1.9%
t	67742	1.8%
n	58517	1.6%
d	58002	1.6%
s	54852	1.5%
Other values (44)	502991	13.6%

Most occurring categories

Value	Count	Frequency (%)
Dash Punctuation	2354649	63.5%
Lowercase Letter	982243	26.5%
Uppercase Letter	243807	6.6%
Space Separator	118395	3.2%
Decimal Number	6205	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	42326	17.4%
S	39160	16.1%
C	32088	13.2%
H	26828	11.0%
B	11447	4.7%
K	10631	4.4%
O	10561	4.3%
M	9735	4.0%
E	8976	3.7%
N	8133	3.3%
Other values (14)	43922	18.0%

Lowercase Letter

Value	Count	Frequency (%)
e	173301	17.6%
a	125721	12.8%
r	119839	12.2%
i	71290	7.3%
t	67742	6.9%
n	58517	6.0%
d	58002	5.9%
s	54852	5.6%
u	46478	4.7%
o	37377	3.8%
Other values (13)	169124	17.2%

Decimal Number

Value	Count	Frequency (%)
2	2410	38.8%
1	1614	26.0%
3	1415	22.8%
8	765	12.3%
9	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	2354649	100.0%

Space Separator

Value	Count	Frequency (%)
	118395	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2479249	66.9%
Latin	1226050	33.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	173301	14.1%
a	125721	10.3%
r	119839	9.8%
i	71290	5.8%
t	67742	5.5%
n	58517	4.8%
d	58002	4.7%
s	54852	4.5%
u	46478	3.8%
A	42326	3.5%
Other values (37)	407982	33.3%

Common

Value	Count	Frequency (%)
-	2354649	95.0%
	118395	4.8%
2	2410	0.1%
1	1614	0.1%
3	1415	0.1%
8	765	< 0.1%
9	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3705299	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2354649	63.5%
e	173301	4.7%
a	125721	3.4%
r	119839	3.2%
	118395	3.2%
i	71290	1.9%
t	67742	1.8%
n	58517	1.6%
d	58002	1.6%
s	54852	1.5%
Other values (44)	502991	13.6%

customer_with_active_prepaid_card
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2095391
True	339472

Common Values
Chart

Value	Count	Frequency (%)
False	2095391	86.1%
True	339472	13.9%

current_prepaid_card_balance
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	9025
Distinct (%)	2.7%
Missing	2095391
Missing (%)	86.1%
Infinite	0
Infinite (%)	0.0%
Mean	14.99085601

Minimum	0
Maximum	10000
Zeros	194365
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	40.88
Maximum	10000
Range	10000
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	191.7003864
Coefficient of variation (CV)	12.78782121
Kurtosis	1378.993676
Mean	14.99085601
Median Absolute Deviation (MAD)	0
Skewness	34.14174152
Sum	5088975.87
Variance	36749.03814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	194365	8.0%
1	17442	0.7%
2	12058	0.5%
3	8641	0.4%
20	7857	0.3%
5	7647	0.3%
4	5963	0.2%
6	3961	0.2%
8	3159	0.1%
7	2739	0.1%
Other values (9015)	75640	3.1%
(Missing)	2095391	86.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	194365	8.0%
0.01	57	< 0.1%
0.02	40	< 0.1%
0.03	32	< 0.1%
0.04	32	< 0.1%
0.05	493	< 0.1%
0.06	25	< 0.1%
0.07	22	< 0.1%
0.08	34	< 0.1%
0.09	27	< 0.1%

Value	Count	Frequency (%)
10000	6	< 0.1%
9988	3	< 0.1%
9956.92	1	< 0.1%
9954.8	1	< 0.1%
9915.11	1	< 0.1%
9814.5	3	< 0.1%
9802.5	4	< 0.1%
9790.5	1	< 0.1%
9766.8	6	< 0.1%
9754.8	2	< 0.1%

date_of_last_top_up_of_prepaid_card
Real number (ℝ_≥0)

MISSING

Distinct	1157
Distinct (%)	0.6%
Missing	2251140
Missing (%)	92.5%
Infinite	0
Infinite (%)	0.0%
Mean	20208466.61

Minimum	20170610
Maximum	20220731
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	20170610
5-th percentile	20191101
Q1	20200803
median	20210306
Q3	20220216
95-th percentile	20220701
Maximum	20220731
Range	50121
Interquartile range (IQR)	19413

Descriptive statistics

Standard deviation	9473.451595
Coefficient of variation (CV)	0.0004687862655
Kurtosis	-1.176599336
Mean	20208466.61
Median Absolute Deviation (MAD)	9703
Skewness	-0.07176909682
Sum	3.712760112 × 10¹²
Variance	89746285.13
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20200902	14277	0.6%
20200803	7291	0.3%
20220216	7007	0.3%
20200706	4508	0.2%
20200603	4261	0.2%
20200203	4240	0.2%
20200402	3656	0.2%
20200302	3654	0.2%
20200102	3363	0.1%
20191101	3007	0.1%
Other values (1147)	128459	5.3%
(Missing)	2251140	92.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20170610	1	< 0.1%
20190601	1380	0.1%
20190602	66	< 0.1%
20190603	27	< 0.1%
20190604	19	< 0.1%
20190606	3	< 0.1%
20190607	10	< 0.1%
20190608	8	< 0.1%
20190609	4	< 0.1%
20190610	16	< 0.1%

Value	Count	Frequency (%)
20220731	569	< 0.1%
20220730	539	< 0.1%
20220729	513	< 0.1%
20220728	452	< 0.1%
20220727	435	< 0.1%
20220726	386	< 0.1%
20220725	431	< 0.1%
20220724	325	< 0.1%
20220723	300	< 0.1%
20220722	255	< 0.1%

supplementary_prepaid_card
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2434863

Common Values
Chart

Value	Count	Frequency (%)
False	2434863	100.0%

own_multiple_prepaid_card
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2426736
True	8127

Common Values
Chart

Value	Count	Frequency (%)
False	2426736	99.7%
True	8127	0.3%

prepaid_card_branch_loaction
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	75
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.847737635

Minimum	-1
Maximum	73
Zeros	2095391
Zeros (%)	86.1%
Negative	2
Negative (%)	< 0.1%
Memory size	18.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	34
Maximum	73
Range	74
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11.77507699
Coefficient of variation (CV)	3.060259847
Kurtosis	10.92856175
Mean	3.847737635
Median Absolute Deviation (MAD)	0
Skewness	3.379696438
Sum	9368714
Variance	138.652438
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2095391	86.1%
14	13917	0.6%
4	11474	0.5%
9	10421	0.4%
27	9887	0.4%
28	9756	0.4%
10	9720	0.4%
18	9306	0.4%
1	9002	0.4%
15	8668	0.4%
Other values (65)	247321	10.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2	< 0.1%
0	2095391	86.1%
1	9002	0.4%
2	6364	0.3%
3	6662	0.3%
4	11474	0.5%
5	4590	0.2%
6	8639	0.4%
7	8102	0.3%
8	5493	0.2%

Value	Count	Frequency (%)
73	3	< 0.1%
72	9	< 0.1%
71	8	< 0.1%
70	43	< 0.1%
69	93	< 0.1%
68	1135	< 0.1%
67	267	< 0.1%
66	3711	0.2%
65	1033	< 0.1%
64	1987	0.1%

customer_with_active_financing_product
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

True	1342147
False	1092716

Common Values
Chart

Value	Count	Frequency (%)
True	1342147	55.1%
False	1092716	44.9%

current_loan_balance
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	507393
Distinct (%)	37.8%
Missing	1092716
Missing (%)	44.9%
Infinite	0
Infinite (%)	0.0%
Mean	8944.559685

Minimum	0
Maximum	664245
Zeros	46476
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	0
5-th percentile	21.87
Q1	2020
median	5398.45
Q3	10958.87
95-th percentile	32677.47
Maximum	664245
Range	664245
Interquartile range (IQR)	8938.87

Descriptive statistics

Standard deviation	11388.28855
Coefficient of variation (CV)	1.273208402
Kurtosis	28.842318
Mean	8944.559685
Median Absolute Deviation (MAD)	3986.8
Skewness	3.233732131
Sum	1.200491395 × 10¹⁰
Variance	129693116
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	46476	1.9%
0.1	1508	0.1%
0.06	882	< 0.1%
0.04	788	< 0.1%
0.05	749	< 0.1%
0.08	712	< 0.1%
0.07	693	< 0.1%
0.03	644	< 0.1%
0.09	636	< 0.1%
9748	567	< 0.1%
Other values (507383)	1288492	52.9%
(Missing)	1092716	44.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46476	1.9%
0.01	451	< 0.1%
0.02	487	< 0.1%
0.03	644	< 0.1%
0.04	788	< 0.1%
0.05	749	< 0.1%
0.06	882	< 0.1%
0.07	693	< 0.1%
0.08	712	< 0.1%
0.09	636	< 0.1%

Value	Count	Frequency (%)
664245	1	< 0.1%
526770	1	< 0.1%
496128	1	< 0.1%
450515	1	< 0.1%
299004	1	< 0.1%
296980	1	< 0.1%
241902	1	< 0.1%
233476	1	< 0.1%
231066	1	< 0.1%
216547	1	< 0.1%

sanctioned_amount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	23020
Distinct (%)	1.7%
Missing	1092716
Missing (%)	44.9%
Infinite	0
Infinite (%)	0.0%
Mean	10208.29011

Minimum	100
Maximum	1608700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.6 MiB

Quantile statistics

Minimum	100
5-th percentile	1359
Q1	4376.5
median	7660
Q3	11000
95-th percentile	30000
Maximum	1608700
Range	1608600
Interquartile range (IQR)	6623.5

Descriptive statistics

Standard deviation	9762.452742
Coefficient of variation (CV)	0.9563259507
Kurtosis	707.0308611
Mean	10208.29011
Median Absolute Deviation (MAD)	3340
Skewness	7.847171056
Sum	1.370102594 × 10¹⁰
Variance	95305483.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	51904	2.1%
20000	32597	1.3%
15000	26872	1.1%
5000	25924	1.1%
30000	14615	0.6%
9600	14567	0.6%
3000	14168	0.6%
25000	13906	0.6%
11000	13847	0.6%
10070	13700	0.6%
Other values (23010)	1120047	46.0%
(Missing)	1092716	44.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
100	2	< 0.1%
102	2	< 0.1%
103	1	< 0.1%
105	1	< 0.1%
106	1	< 0.1%
108	2	< 0.1%
109	2	< 0.1%
110	2	< 0.1%
112	1	< 0.1%
113	1	< 0.1%

Value	Count	Frequency (%)
1608700	1	< 0.1%
990000	1	< 0.1%
772952	1	< 0.1%
620000	1	< 0.1%
600000	2	< 0.1%
570000	1	< 0.1%
514000	1	< 0.1%
500670	1	< 0.1%
458000	1	< 0.1%
347900	1	< 0.1%

own_multiple_financing_products
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

False	2243449
True	191414

Common Values
Chart

Value	Count	Frequency (%)
False	2243449	92.1%
True	191414	7.9%

financing_product_branch_location
Real number (ℝ)

Distinct	2147
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.96484525

Minimum	-1
Maximum	2145
Zeros	1126
Zeros (%)	< 0.1%
Negative	74814
Negative (%)	3.1%
Memory size	18.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	3
Q3	3
95-th percentile	244
Maximum	2145
Range	2146
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	127.8636712
Coefficient of variation (CV)	3.199403635
Kurtosis	50.37872435
Mean	39.96484525
Median Absolute Deviation (MAD)	2
Skewness	6.05371309
Sum	97308923
Variance	16349.11841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1092716	44.9%
1	722047	29.7%
-1	74814	3.1%
27	30415	1.2%
26	9902	0.4%
5	9721	0.4%
16	8745	0.4%
33	8231	0.3%
7	8197	0.3%
48	6373	0.3%
Other values (2137)	463702	19.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	74814	3.1%
0	1126	< 0.1%
1	722047	29.7%
2	470	< 0.1%
3	1092716	44.9%
4	357	< 0.1%
5	9721	0.4%
6	875	< 0.1%
7	8197	0.3%
8	3773	0.2%

Value	Count	Frequency (%)
2145	1	< 0.1%
2144	1	< 0.1%
2143	1	< 0.1%
2142	1	< 0.1%
2141	1	< 0.1%
2140	1	< 0.1%
2139	1	< 0.1%
2138	1	< 0.1%
2137	1	< 0.1%
2136	1	< 0.1%

default
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.6 MiB

0	1769686
1	665177

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2434863
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Most occurring characters

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2434863	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2434863	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2434863	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1769686	72.7%
1	665177	27.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	customer_id	date_of_report	gender	occupation	nationality	race	marital_status	age	home_address	residence_type	educational_qualification	type_of_employment	annual_income	vip_status	number_of_dependents	mobile_app_status	opt_out	customer_with_active_credit_card	current_ca_credit_limit	current_cp_credit_limit	initial_ca_credit_limit	initial_cp_credit_limit	own_multiple_credit_card	supplementary_credit_card	credit_card_branch_location	customer_with_active_prepaid_card	current_prepaid_card_balance	date_of_last_top_up_of_prepaid_card	supplementary_prepaid_card	own_multiple_prepaid_card	prepaid_card_branch_loaction	customer_with_active_financing_product	current_loan_balance	sanctioned_amount	own_multiple_financing_products	financing_product_branch_location	default
0	142932463.0	20220901.0	Female	1d3134e05d4736dd523e8da18153fee1683082c8047194972a00bef74936fd6d	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	29.0	55100	055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	33144.36	N	3.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	2768.56	2221.0	Y	0	0
1	133599134.0	20220901.0	Male	d56baa23c666005144806b1143e76f89d80bb0d5087ac44e63668cd6b415ccc0	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	26.0	84900	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	21600.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	17226.60	15000.0	N	1	0
2	142155191.0	20220901.0	Female	2591e99784666567fe15b2059e3f2050b0e9d1226bde8f911aa4a3e2dcc2436e	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	29.0	07000	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	20400.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	9306.98	10070.0	N	1	0
3	110561197.0	20220901.0	Female	3c78d9603676c68c5f26d0f4fb2ed5026456cd799b53aa64373f64b6cda34a43	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	83ad5f646c236e5afc36e3f3353c6f6f8ba983653b117d5340f9a5248fe11d00	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	40.0	58000	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	22616.16	N	4.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	3118.96	3510.0	Y	2	1
4	850084597.0	20220901.0	Female	0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	28.0	43500	fcaa4020673f3cadd8a84f92af02c59f2b586ea2830d6a078961513287c98dbe	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	31839.12	N	1.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	N	NaN	NaN	N	3	0
5	180069254.0	20220901.0	Female	a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	45.0	28100	055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	44740.44	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	N	NaN	NaN	N	3	0
6	133727416.0	20220901.0	Male	db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	25.0	10000	055a952c818647957a80fc28e0537a01d3ad8e909145b4945f40fc6b508b5506	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	20988.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	4943.39	10020.0	N	4	0
7	190126504.0	20220901.0	Female	c416c1eeac991164d9c7d56599c67ab451d5fff119c952b1b96a54ab984c0e17	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	42.0	40170	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	21284.88	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	Y	5.0	20200919.0	N	N	1	N	NaN	NaN	N	3	1
8	190941036.0	20220901.0	Female	db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	33.0	48300	3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	13056.00	N	5.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	Y	3463.00	4110.0	N	5	1
9	10102414.0	20220901.0	Male	cc7cc7b16765e55be80f0b222f9ceea451304704fbc78664597e80a23da9f588	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	47.0	13300	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	dd11755948898b60031cd1382b72e61ca672b0d255e238748a4d9961ead717e8	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	24000.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	0	N	NaN	NaN	N	3	0

Last rows

	customer_id	date_of_report	gender	occupation	nationality	race	marital_status	age	home_address	residence_type	educational_qualification	type_of_employment	annual_income	vip_status	number_of_dependents	mobile_app_status	opt_out	customer_with_active_credit_card	current_ca_credit_limit	current_cp_credit_limit	initial_ca_credit_limit	initial_cp_credit_limit	own_multiple_credit_card	supplementary_credit_card	credit_card_branch_location	customer_with_active_prepaid_card	current_prepaid_card_balance	date_of_last_top_up_of_prepaid_card	supplementary_prepaid_card	own_multiple_prepaid_card	customer_with_active_financing_product	current_loan_balance	sanctioned_amount	own_multiple_financing_products	financing_product_branch_location
2434853	141651129.0	20220901.0	Female	b38c06347169ddbe0700cdba20f63d3e4bbaaacfa6714118d21ea474d70ab2e2	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	61.0	36000	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	17304.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	N	NaN	NaN	N	3
2434854	133065068.0	20220901.0	Male	db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	10a033a3053ce4de82085eef58d58d9ed93638cb095d4c6747e992305aebdcbf	35.0	16450	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	12000.00	N	2.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	Y	2697.41	6948.0	N	257
2434855	30218178.0	20220901.0	Male	0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	36.0	05200	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	74a30f9c0c4638c759eeb1abc1b8857dfa8b26b6dbab306a1e6a3245dbec6235	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	40581.84	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	N	NaN	NaN	N	3
2434856	30518976.0	20220901.0	Male	a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	97e44d546f8c88f0a19f0e8db7e2069337b7e6924b7cd230a00710d7b9b53d00	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	26.0	43200	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	28800.00	N	1.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	N	NaN	NaN	N	3
2434857	260540867.0	20220901.0	Male	1d3134e05d4736dd523e8da18153fee1683082c8047194972a00bef74936fd6d	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	53.0	52100	3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	20400.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	N	NaN	NaN	N	3
2434858	10146797.0	20220901.0	Male	0be69302b80664a1f1ada55c8edd5f40cf3d5d23fbb48e47481e05ef097ac67c	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	40.0	43200	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	61800.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	Y	3834.40	7000.0	N	10
2434859	80325830.0	20220901.0	Female	a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	99b0a2098212fca2a4b7e72c48081e4290f2f75004ba54d402df38647113cacc	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	38.0	89058	c81f5b09f595dd05e9ad3b0fa206caf8a92a2f0f154d2885451ddf7f09768e6c	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	54367.08	N	1.0	Y	N	Y	2000.0	5000.0	2000.0	5000.0	N	N	Kota Kinabalu	N	NaN	NaN	N	N	Y	14935.73	10000.0	N	16
2434860	192367402.0	20220901.0	Female	b38c06347169ddbe0700cdba20f63d3e4bbaaacfa6714118d21ea474d70ab2e2	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8623744e832ac4d2479a3de6c827dfb779ddb769de07f0a0b2567f27b6cb45f5	27.0	41300	3f61f7d37f20290d7d17f55ce5656469c8d894046147962773153d5bdffc5872	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	28946.40	N	1.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	Y	58388.00	34000.0	N	1
2434861	181145824.0	20220901.0	Female	db87f20a1ced8ee129c2e25c6ea20024113c1be0aa50f6a73c9b577d31dddcf3	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	27.0	17600	98c723844f9e6aaaa5b2361761bdf8197e0ae4c087c688a3212248e0d40ef4e6	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	12000.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	Y	3168.94	6210.0	N	252
2434862	181301756.0	20220901.0	Male	a4a8ba27410e227c522ae7b71844852e33ccbb4c57cb362d16e09207de46dda0	522733336a54c81c7cfabcc60dcf26042a4b1d59c4bdf76eafa7c5b79e7e9af6	3d0ac26c46f9daaeaff34affc226f2d86300ede16934f3194ef49a5f56c676b5	8316f8178707dee9ea8c0e44178b4993a37244112fd60a0be23dae005a3dca01	24.0	47000	a3ccf1236ee8a45f9dd05b9db992f701d0aba9006879742d48ca2f10191bee90	NaN	9fb72472a1bfadde532422630d0a0a2531491064f8e9c2e6cc706487159c9920	15600.00	N	0.0	N	N	N	NaN	NaN	NaN	NaN	N	N	-	N	NaN	NaN	N	N	Y	9673.60	9000.0	N	1

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number